to deal with this problem

One of the key problems with contemporary AGI is that ineffective knowledge (in some form) will interfere with the effort to build even the foundations for an AGI program. Since I do not believe that there is any method that will work often enough to allow for a solid foundation to be easily formed, a way to work with and around inaccurate and inadequate knowledge has to be found. Structural integration can sometimes enhance a cohesive bunch of inaccurate fragments of knowledge. But I believe that there are a few things that can be done to deal with this problem. First of all, the method of (partial) verification through structural knowledge should usually work better with effective fragments of knowledge then it would with inaccurate fragments. Secondly, a few kinds of flaws can often be found in inaccurate theories. One is that they are often 'circular' or what I call 'loopy'. Although good paradigms (mini-paradigms) are often strongly interdependent, nonsensical paradigms do not fit well into systems external to the central features of the paradigm. This fitting can be done through the cross-categorization networks across transcendent boundaries and it is an important part of understanding how good theories work. back to Jim Bromer Theory